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自动化研究所 [7]
兰州理工大学 [3]
计算技术研究所 [2]
力学研究所 [1]
数学与系统科学研究院 [1]
海洋研究所 [1]
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期刊论文 [17]
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2021 [17]
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Conceptual design of the supercritical CO2 cooled lithium lead blanket for CFETR
期刊论文
FUSION ENGINEERING AND DESIGN, 2021, 卷号: 173
作者:
Chen, Lei
;
Jiang, Kecheng
;
Ma, Xuebin
;
Wu, Qiuran
;
Yu, Yi
收藏
  |  
浏览/下载:65/0
  |  
提交时间:2021/11/15
CFETR
Supercritical CO2 cooled lithium lead blanket
Performance analysis
Thermal efficiency evaluation
Study on Comprehensive Performance of Three-Dimensional Tube Applied to Gas-Solid Two-Phase Flow Environment
期刊论文
ENERGIES, 2021, 卷号: 14, 期号: 17, 页码: 14
作者:
Mo, Xun
;
Liu, Shi-Jie
;
Li, Xiu-Zhen
;
Tu, Ai-Min
;
Zhu, Dong-Sheng
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2021/10/27
enhanced tube
three-dimensional tube
heat transfer
comprehensive performance evaluation method
On the evaluation of output voltages for quantifying the performance of pyroelectric energy harvesters
期刊论文
NANO ENERGY, 2021, 卷号: 86, 页码: 8
作者:
Li QL(李沁蓝)
;
Li S(李爽)
;
Pisignano, Dario
;
Persano, Luana
;
Yang, Ya
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  |  
浏览/下载:36/0
  |  
提交时间:2021/08/16
Pyroelectric energy harvester
Performance evaluation
Pyroelectric voltage
Poly(vinylidene difluoride) (PVDF)
ECBC: Efficient Convolution via Blocked Columnizing
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:
Zhao, Tianli
;
Hu, Qinghao
;
He, Xiangyu
;
Xu, Weixiang
;
Wang, Jiaxing
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2022/01/27
Convolution
Tensors
Layout
Memory management
Indexes
Transforms
Performance evaluation
Convolutional neural networks (CNNs)
direct convolution
high performance computing for mobile devices
im2col convolution
memory-efficient convolution (MEC)
GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 5, 页码: 1562-1577
作者:
Huang, Lianghua
;
Zhao, Xin
;
Huang, Kaiqi
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  |  
浏览/下载:64/0
  |  
提交时间:2021/05/17
Training
Object tracking
Databases
Protocols
Benchmark testing
Servers
Object tracking
benchmark dataset
performance evaluation
Active Disturbance Rejection Control for a Fluid-Driven Hand Rehabilitation Device
期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2021, 卷号: 26, 期号: 2, 页码: 841-853
作者:
Li, Houcheng
;
Cheng, Long
;
Li, Zhengwei
;
Xue, Wenchao
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  |  
浏览/下载:24/0
  |  
提交时间:2021/06/07
Actuators
Exoskeletons
Performance evaluation
Training
IEEE transactions
Mechatronics
Active disturbance rejection control
extended state observer
extension motion
hand rehabilitation
parameter selection
transient
steady-state performance
Active Disturbance Rejection Control for a Fluid-Driven Hand Rehabilitation Device
期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2021, 卷号: 26, 期号: 2, 页码: 841-853
作者:
Li, Houcheng
;
Cheng, Long
;
Li, Zhengwei
;
Xue, Wenchao
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2021/10/26
Actuators
Exoskeletons
Performance evaluation
Training
IEEE transactions
Mechatronics
Active disturbance rejection control
extended state observer
extension motion
hand rehabilitation
parameter selection
transient
steady-state performance
The Thermocline Biases in the Tropical North Pacific and Their Attributions
期刊论文
JOURNAL OF CLIMATE, 2021, 卷号: 34, 期号: 5, 页码: 1635-1648
作者:
Zhu, Yuchao
;
Zhang, Rong-Hua
;
Li, Delei
;
Chen, Dake
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2021/04/14
Climate models
Model errors
Model evaluation/performance
Toward Efficient Execution of Mainstream Deep Learning Frameworks on Mobile Devices: Architectural Implications
期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2021, 卷号: 40, 期号: 3, 页码: 453-466
作者:
Dai, Yuting
;
Zhang, Rui
;
Xue, Rui
;
Liu, Benyong
;
Li, Tao
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  |  
浏览/下载:37/0
  |  
提交时间:2021/12/01
Deep learning
Mobile handsets
Performance evaluation
Mobile applications
Computational modeling
Quantization (signal)
Central Processing Unit
CPU usage
deep learning (DL)
energy efficiency
microarchitecture
mobile phone
network compression
thermal characterization
Slope reliability evaluation based on multi-objective grey wolf optimization-multi-kernel-based extreme learning machine agent model
期刊论文
Bulletin of Engineering Geology and the Environment, 2021, 卷号: 80, 期号: 3, 页码: 2011-2024
作者:
Ling, Qing
;
Zhang, Qin
;
Wei, Yuming
;
Kong, Lingjie
;
Zhu, Li
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2021/03/02
Geotechnical engineering
Knowledge acquisition
Landslides
Machine learning
Multiobjective optimization
Reliability analysis
Risk assessment
Coefficient of variation
Computational performance
Extreme learning machine
Machine learning methods
Probabilistic evaluation
Response surface method
Strength reduction method
Traditional techniques
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